Abstract: A communication system provides for automated detection, and resolution, of focus hunt. A server determines whether a predetermined number of blur metric transition (BMT) cycles, associated with a video stream, have occurred within a predetermined period of time or number of frames. In response to determining that the predetermined number of BMT cycles have occurred, the server determines that focus hunt has occurred. A BMT occurs when first and second blur metrics, determined for first and second video frames, transition from being greater than a blur metric threshold to being less than the threshold, or vice versa. In turn, a BMT cycle occurs when a BMT, of a first BMT and a second BMT, comprises a transition of blur metrics from less than the threshold to greater than the threshold and the other BMT comprises a transition of blur metrics from greater than the threshold to less than the threshold.

Abstract: Multiple cameras are operatively connected over a shared link to a video server on a video network. The cameras are operated to capture a plurality of video streams. Each video stream has intra-frames and predictive frames that are sequentially generated timewise apart. A number of the video streams that transmit over the shared link on the network is identified. A number of intra-frames that are generated substantially simultaneously in the identified video streams is also identified. The identified intra-frames in the video streams are offset in time to minimize video artifacts from being present in the video streams being transmitted over the shared link.

Abstract: A communication system provides for automated detection, and resolution, of focus hunt. A server determines whether a predetermined number of blur metric transition (BMT) cycles, associated with a video stream, have occurred within a predetermined period of time or number of frames. In response to determining that the predetermined number of BMT cycles have occurred, the server determines that focus hunt has occurred. A BMT occurs when first and second blur metrics, determined for first and second video frames, transition from being greater than a blur metric threshold to being less than the threshold, or vice versa. In turn, a BMT cycle occurs when a BMT, of a first BMT and a second BMT, comprises a transition of blur metrics from less than the threshold to greater than the threshold and the other BMT comprises a transition of blur metrics from greater than the threshold to less than the threshold.

Abstract: A method and system enable determining one or more delays associated with an internet protocol (IP) camera. The method includes issuing a control command from a device to the IP camera. A change is then detected in one or more pixels in video frames as a result of the control command being executed by the IP camera. One or more delays associated with the IP camera are then determined by recording and comparing two or more of the following: a command time; a feedback time; and a capture time.

Abstract: Multiple cameras are operatively connected over a shared link to a video server on a video network. The cameras are operated to capture a plurality of video streams. Each video stream has intra-frames and predictive frames that are sequentially generated timewise apart. A number of the video streams that transmit over the shared link on the network is identified. A number of intra-frames that are generated substantially simultaneously in the identified video streams is also identified. The identified intra-frames in the video streams are offset in time to minimize video artifacts from being present in the video streams being transmitted over the shared link.